Related Experiment Video
Updated: Jan 25, 2026

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Evaluating gender bias in an eating disorder risk assessment questionnaire for athletes
Kieran A Gallagher1, Kendrin R Sonneville1, Vivienne M Hazzard1
1School of Public Health, University of Michigan , Ann Arbor, MI, USA.
Abstract:
Due to stigma, eating disorders are under-researched, underdiagnosed and undertreated among men. This is particularly pertinent among athletes, as athletic goals are a major risk factor for disordered eating in men. This gender stereotype may be reinforced by eating disorder risk assessment tools that better reflect female symptoms. We examine an eating disorder risk assessment questionnaire in a population of athletes to assess both (1) gender bias in individual items and (2) gender differences on a cognitive and behavioral subscale, identified through a factor analysis. Controlling for eating disorder risk, we found that female gender significantly predicted high risk scores on four items; male gender significantly predicted high risk scores on four other items. We also found that women were more likely to score above the median on a cognitive subscale than men with the same level of eating disorder risk, while men were more likely to score above the median on a behavioral subscale. These results may be applied practically to allow eating disorder risk assessment tools to better capture eating disorder risk independent of gender. These methods may be applied to other questionnaires and other social identities, to expand the scope of eating disorder research and treatment.
Related Concept Videos
Binge Eating Disorders
Confirmation Biases
Hindsight Biases
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Socioemotional Experience and Gender Development
Design Example: Analyzing Capacity Contours for Flood Risk Assessment

